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SCAIL 2 Single-Creature Long Video Drive (Episode 261)
SCAIL 2 Single-Creature Long Video Drive (Episode 261)
SCAIL 2 Single-Creature Long Video Drive (Episode 261)
# SCAIL 2 Single-Creature Long Video Drive (Episode 261) ComfyUI workflow exported from **AI-KSK episode 261**. **File:** `SCAIL 2 单人生物长视频驱动.json` ## What it does SCAIL 2 Single-Creature Long Video Drive. The episode wal…
图像
55 个节点 3 次使用 AIKSK 92 KB
需要的权重
这个工作流引用了 1 个权重文件，其中 0 个能在本站模型库里找到。
51_scail-2-single-creature-long-video-drive-episode-261.json
模型库暂未收录
节点构成
LoraLoaderModelOnly
× 9
CLIPTextEncode
× 3
easy mathInt
× 3
VHS_VideoCombine
× 3
Int
× 3
easy int
× 2
SAM3_VideoTrack
× 2
SamplerCustom
× 2
VAEDecode
× 2
WanSCAILToVideo
× 2
GetImageRangeFromBatch
× 2
ImageResizeKJv2
× 2
MarkdownNote
× 1
UNETLoader
× 1
ModelSamplingSD3
× 1
VAELoader
× 1
官方标注的模型
FastWan_T2V_14B_480p_lora_rank_128_bf16.safetensorsWan2.2-Fun-A14B-InP-low-noise-HPS2.1.safetensorsWan2.2-Lightning_I2V-A14B-4steps-lora_LOW_fp16.safetensorsWan21_PusaV1_LoRA_14B_rank512_bf16.safetensorsWanAnimate_relight_lora_fp16.safetensorsclip_vision_vit_h.safetensorslightx2v_I2V_14B_480p_cfg_step_distill_rank128_bf16.safetensorssam3.1_multiplex_fp16.safetensorsstage1_480p.safetensorsstage2_480p.safetensorsstage3_720p_beta.safetensorsumt5_xxl_fp8_e4m3fn_scaled.safetensors
工作流 JSON
和上面「下载工作流 JSON」是同一份文件。
1{
2 "last_link_id": 90,
3 "nodes": [
4 {
5 "outputs": [],
6 "color": "#432",
7 "widgets_values": [
8 "【最终流程 01：单人骨骼引导】\n单人骨骼引导：让一张参考角色图跟随单人驱动视频动作生成，不做局部人物替换。\n\n硬规则：参考图和驱动视频都统一对齐到 512x896。节点18处理驱动视频；节点60处理参考图。两者必须同尺寸后再进入 SAM3、CLIPVision、SCAIL。\n\n主体设置：SAM3 max_objects=1；SCAIL2ColoredMask object_indices=0；sort_by=area；replacement_mode=false。\n\n循环规则：首段65帧；循环体81帧；每轮去掉5帧重叠，所以每轮有效新增76帧。循环次数 N=max(1, ceil((F-65)/76))。\n\n合并视频规则：最终 VHS_VideoCombine 的 images 只接最终帧序列，audio 接原视频音频，frame_rate 接统一帧率节点；不要把开关线或预览线接到 images。\n\n废弃规则：不使用 Set/Get，不使用 TensorLoop，不使用 GIMMVFI 插帧。\n\n模型与 LoRA：主模型为 `wan2.1_14B_SCAIL_2_fp8_scaled.safetensors`。保留多 LoRA 串联加载，但只移除 `SESELAORUYAO.safetensors`；当前链为 LightX2V、WanAnimate relight、Wan2.2 Lightning I2V、FastWan 480p、Wan21 PusaV1、Wan2.2 Fun InP、stage1、stage2、stage3。"
9 ],
10 "inputs": [],
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12 "type": "MarkdownNote",
13 "title": "最终流程 01：单人骨骼引导",
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19 ],
20 "pos": [
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24 "id": 1,
25 "properties": {
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27 "Node name for S&R": "最终流程 01：单人骨骼引导"
28 },
29 "order": 0
30 },
31 {
32 "outputs": [
33 {
34 "name": "CONDITIONING",
35 "links": [
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37 51
38 ],
39 "label": "CONDITIONING",
40 "type": "CONDITIONING",
41 "localized_name": "CONDITIONING"
42 }
43 ],
44 "color": "#322",
45 "widgets_values": [
46 "a full body single character following one person pose guidance, natural motion, stable identity, stable limbs, clean silhouette, coherent video, smooth temporal consistency"
47 ],
48 "inputs": [
49 {
50 "name": "clip",
51 "link": 8,
52 "label": "clip",
53 "type": "CLIP",
54 "localized_name": "clip"
55 },
56 {
57 "widget": {
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59 },
60 "name": "text",
61 "label": "text",
62 "type": "STRING",
63 "localized_name": "text"
64 }
65 ],
66 "flags": [],
67 "type": "CLIPTextEncode",
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70 "size": [
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72 200
73 ],
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77 ],
78 "id": 4,
79 "properties": {
80 "note": "正向提示词保持通用低干扰，用于稳定角色一致性和时间连续性。",
81 "widget_ue_connectable": [],
82 "Node name for S&R": "Positive Prompt"
83 },
84 "order": 15
85 },
86 {
87 "outputs": [
88 {
89 "name": "CONDITIONING",
90 "links": [
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93 ],
94 "label": "CONDITIONING",
95 "type": "CONDITIONING",
96 "localized_name": "CONDITIONING"
97 }
98 ],
99 "color": "#322",
100 "widgets_values": [
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102 ],
103 "inputs": [
104 {
105 "name": "clip",
106 "link": 9,
107 "label": "clip",
108 "type": "CLIP",
109 "localized_name": "clip"
110 },
111 {
112 "widget": {
113 "name": "text"
114 },
115 "name": "text",
116 "label": "text",
117 "type": "STRING",
118 "localized_name": "text"
119 }
120 ],
121 "flags": [],
122 "type": "CLIPTextEncode",
123 "mode": 0,
124 "bgcolor": "#533",
125 "size": [
126 400,
127 200
128 ],
129 "pos": [
130 680,
131 1280
132 ],
133 "id": 5,
134 "properties": {
135 "note": "负向提示词抑制闪烁、身份漂移、肢体和背景不稳定。",
136 "widget_ue_connectable": [],
137 "Node name for S&R": "Negative Prompt"
138 },
139 "order": 16
140 },
141 {
142 "mode": 0,
143 "outputs": [
144 {
145 "name": "CONDITIONING",
146 "links": [
147 13,
148 16
149 ],
150 "label": "CONDITIONING",
151 "type": "CONDITIONING",
152 "localized_name": "CONDITIONING"
153 }
154 ],
155 "size": [
156 235.296875,
157 115.328125
158 ],
159 "pos": [
160 2140,
161 520
162 ],
163 "widgets_values": [
164 "person"
165 ],
166 "inputs": [
167 {
168 "name": "clip",
169 "link": 10,
170 "label": "clip",
171 "type": "CLIP",
172 "localized_name": "clip"
173 },
174 {
175 "widget": {
176 "name": "text"
177 },
178 "name": "text",
179 "label": "text",
180 "type": "STRING",
181 "localized_name": "text"
182 }
183 ],
184 "flags": [],
185 "id": 6,
186 "type": "CLIPTextEncode",
187 "properties": {
188 "note": "描述需要追踪的人物主体，供 SAM3 在参考图与驱动视频中定位同一类目标。",
189 "widget_ue_connectable": [],
190 "Node name for S&R": "SAM3 Subject Prompt"
191 },
192 "order": 17
193 },
194 {
195 "mode": 0,
196 "outputs": [
197 {
198 "name": "int",
199 "links": [
200 1,
201 82,
202 85,
203 88
204 ],
205 "label": "int",
206 "type": "INT",
207 "localized_name": "int"
208 }
209 ],
210 "size": [
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212 90
213 ],
214 "pos": [
215 430,
216 840
217 ],
218 "widgets_values": [
219 24
220 ],
221 "inputs": [
222 {
223 "widget": {
224 "name": "value"
225 },
226 "name": "value",
227 "label": "value",
228 "type": "INT",
229 "localized_name": "value"
230 }
231 ],
232 "flags": [],
233 "id": 8,
234 "type": "easy int",
235 "properties": {
236 "note": "统一控制加载视频 force_rate 和合并视频 frame_rate。默认 24fps；改这里一个值即可同步全流程。",
237 "widget_ue_connectable": {
238 "value": true
239 },
240 "Node name for S&R": "统一帧率 FPS"
241 },
242 "order": 1
243 },
244 {
245 "mode": 0,
246 "outputs": [
247 {
248 "name": "MODEL",
249 "links": [
250 2
251 ],
252 "label": "MODEL",
253 "type": "MODEL",
254 "localized_name": "MODEL"
255 }
256 ],
257 "size": [
258 340,
259 82
260 ],
261 "pos": [
262 720,
263 -280
264 ],
265 "widgets_values": [
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267 "default"
268 ],
269 "inputs": [
270 {
271 "widget": {
272 "name": "unet_name"
273 },
274 "name": "unet_name",
275 "label": "unet_name",
276 "type": "COMBO",
277 "localized_name": "unet_name"
278 },
279 {
280 "widget": {
281 "name": "weight_dtype"
282 },
283 "name": "weight_dtype",
284 "label": "weight_dtype",
285 "type": "COMBO",
286 "localized_name": "weight_dtype"
287 }
288 ],
289 "flags": [],
290 "id": 9,
291 "type": "UNETLoader",
292 "properties": {
293 "note": "主模型：wan2.1_14B_SCAIL_2_fp8_scaled.safetensors。",
294 "widget_ue_connectable": {
295 "weight_dtype": true,
296 "unet_name": true
297 },
298 "Node name for S&R": "SCAIL-2 大模型 UNETLoader"
299 },
300 "order": 2
301 },
302 {
303 "outputs": [
304 {
305 "name": "MODEL",
306 "links": [
307 200
308 ],
309 "label": "MODEL",
310 "type": "MODEL",
311 "localized_name": "MODEL"
312 }
313 ],
314 "color": "#223",
315 "widgets_values": [
316 "lightx2v_I2V_14B_480p_cfg_step_distill_rank128_bf16.safetensors",
317 0.8
318 ],
319 "inputs": [
320 {
321 "name": "model",
322 "link": 2,
323 "label": "model",
324 "type": "MODEL",
325 "localized_name": "model"
326 },
327 {
328 "widget": {
329 "name": "lora_name"
330 },
331 "name": "lora_name",
332 "label": "lora_name",
333 "type": "COMBO",
334 "localized_name": "lora_name"
335 },
336 {
337 "widget": {
338 "name": "strength_model"
339 },
340 "name": "strength_model",
341 "label": "strength_model",
342 "type": "FLOAT",
343 "localized_name": "strength_model"
344 }
345 ],
346 "flags": [],
347 "type": "LoraLoaderModelOnly",
348 "mode": 0,
349 "bgcolor": "#335",
350 "size": [
351 360,
352 100
353 ],
354 "pos": [
355 1100,
356 -280
357 ],
358 "id": 10,
359 "properties": {
360 "note": "多 LoRA 串联加载。已排除 SESELAORUYAO。",
361 "widget_ue_connectable": [],
362 "Node name for S&R": "LoRA 01：LightX2V rank128"
363 },
364 "order": 14
365 },
366 {
367 "outputs": [
368 {
369 "name": "MODEL",
370 "links": [
371 39,
372 63
373 ],
374 "label": "MODEL",
375 "type": "MODEL",
376 "localized_name": "MODEL"
377 }
378 ],
379 "color": "#223",
380 "widgets_values": [
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382 ],
383 "inputs": [
384 {
385 "name": "model",
386 "link": 3,
387 "label": "model",
388 "type": "MODEL",
389 "localized_name": "model"
390 },
391 {
392 "widget": {
393 "name": "shift"
394 },
395 "name": "shift",
396 "label": "shift",
397 "type": "FLOAT",
398 "localized_name": "shift"
399 }
400 ],
401 "flags": [],
402 "type": "ModelSamplingSD3",
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405 "size": [
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407 80
408 ],
409 "pos": [
410 2620,
411 -120
412 ],
413 "id": 11,
414 "properties": {
415 "note": "接在 9 个 LoRA 串联之后；两个 SamplerCustom 的 model 都吃这里的输出。",
416 "widget_ue_connectable": [],
417 "Node name for S&R": "ModelSamplingSD3：shift=5"
418 },
419 "order": 34
420 },
421 {
422 "outputs": [
423 {
424 "name": "VAE",
425 "links": [
426 30,
427 46,
428 53,
429 70
430 ],
431 "label": "VAE",
432 "type": "VAE",
433 "localized_name": "VAE"
434 }
435 ],
436 "color": "#322",
437 "widgets_values": [
438 "wan_2.1_vae_Comfy-Org.safetensors"
439 ],
440 "inputs": [
441 {
442 "widget": {
443 "name": "vae_name"
444 },
445 "name": "vae_name",
446 "label": "vae_name",
447 "type": "COMBO",
448 "localized_name": "vae_name"
449 }
450 ],
451 "flags": [],
452 "type": "VAELoader",
453 "mode": 0,
454 "bgcolor": "#533",
455 "size": [
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457 60.2781867980957
458 ],
459 "pos": [
460 1400,
461 80
462 ],
463 "id": 12,
464 "properties": {
465 "note": "按 RunningHub 范式对齐 VAE 文件名。",
466 "widget_ue_connectable": [],
467 "Node name for S&R": "WAN VAE"
468 },
469 "order": 3
470 },
471 {
472 "outputs": [
473 {
474 "name": "CLIP",
475 "links": [
476 8,
477 9
478 ],
479 "label": "CLIP",
480 "type": "CLIP",
481 "localized_name": "CLIP"
482 }
483 ],
484 "color": "#432",
485 "widgets_values": [
486 "umt5_xxl_fp8_e4m3fn_scaled.safetensors",
487 "wan",
488 "default"
489 ],
490 "inputs": [
491 {
492 "widget": {
493 "name": "clip_name"
494 },
495 "name": "clip_name",
496 "label": "clip_name",
497 "type": "COMBO",
498 "localized_name": "clip_name"
499 },
500 {
501 "widget": {
502 "name": "type"
503 },
504 "name": "type",
505 "label": "type",
506 "type": "COMBO",
507 "localized_name": "type"
508 },
509 {
510 "widget": {
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512 },
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514 "name": "device",
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517 "localized_name": "device"
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526 141.328125
527 ],
528 "pos": [
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530 510
531 ],
532 "id": 13,
533 "properties": {
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535 "widget_ue_connectable": [],
536 "Node name for S&R": "WAN Text Encoder"
537 },
538 "order": 4
539 },
540 {
541 "outputs": [
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543 "name": "CLIP_VISION",
544 "links": [
545 6
546 ],
547 "label": "CLIP_VISION",
548 "type": "CLIP_VISION",
549 "localized_name": "CLIP_VISION"
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564 "localized_name": "clip_name"
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573 80.328125
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575 "pos": [
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578 ],
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580 "properties": {
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582 "widget_ue_connectable": [],
583 "Node name for S&R": "CLIP Vision"
584 },
585 "order": 5
586 },
587 {
588 "outputs": [
589 {
590 "name": "MODEL",
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593 15
594 ],
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597 "localized_name": "MODEL"
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613 "localized_name": "VAE"
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630 ],
631 "flags": [],
632 "type": "CheckpointLoaderSimple",
633 "mode": 0,
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639 "pos": [
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641 720
642 ],
643 "id": 15,
644 "properties": {
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646 "widget_ue_connectable": [],
647 "Node name for S&R": "SAM3 Model"
648 },
649 "order": 6
650 },
651 {
652 "mode": 0,
653 "outputs": [
654 {
655 "name": "SAMPLER",
656 "links": [
657 42,
658 66
659 ],
660 "label": "SAMPLER",
661 "type": "SAMPLER",
662 "localized_name": "SAMPLER"
663 }
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682 "label": "sampler_name",
683 "type": "COMBO",
684 "localized_name": "sampler_name"
685 }
686 ],
687 "flags": [],
688 "id": 16,
689 "type": "KSamplerSelect",
690 "properties": {
691 "note": "按 RunningHub 范式保留 euler 采样器。",
692 "widget_ue_connectable": [],
693 "Node name for S&R": "Sampler：euler"
694 },
695 "order": 7
696 },
697 {
698 "mode": 0,
699 "outputs": [
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701 "name": "SIGMAS",
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704 67
705 ],
706 "label": "SIGMAS",
707 "type": "SIGMAS",
708 "localized_name": "SIGMAS"
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728 "label": "model",
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730 "localized_name": "model"
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735 },
736 "name": "scheduler",
737 "label": "scheduler",
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739 "localized_name": "scheduler"
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741 {
742 "widget": {
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744 },
745 "name": "steps",
746 "label": "steps",
747 "type": "INT",
748 "localized_name": "steps"
749 },
750 {
751 "widget": {
752 "name": "denoise"
753 },
754 "name": "denoise",
755 "label": "denoise",
756 "type": "FLOAT",
757 "localized_name": "denoise"
758 }
759 ],
760 "flags": [],
761 "id": 17,
762 "type": "BasicScheduler",
763 "properties": {
764 "note": "Scheduler 使用同一套多 LoRA 模型，保持首段和循环体一致。",
765 "widget_ue_connectable": [],
766 "Node name for S&R": "Steps / CFG Scheduler"
767 },
768 "order": 35
769 },
770 {
771 "outputs": [
772 {
773 "name": "CLIP_VISION_OUTPUT",
774 "links": [
775 35,
776 58
777 ],
778 "label": "CLIP_VISION_OUTPUT",
779 "type": "CLIP_VISION_OUTPUT",
780 "localized_name": "CLIP_VISION_OUTPUT"
781 }
782 ],
783 "color": "#233",
784 "widgets_values": [
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786 ],
787 "inputs": [
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789 "name": "clip_vision",
790 "link": 6,
791 "label": "clip_vision",
792 "type": "CLIP_VISION",
793 "localized_name": "clip_vision"
794 },
795 {
796 "name": "image",
797 "link": 7,
798 "label": "image",
799 "type": "IMAGE",
800 "localized_name": "image"
801 },
802 {
803 "widget": {
804 "name": "crop"
805 },
806 "name": "crop",
807 "label": "crop",
808 "type": "COMBO",
809 "localized_name": "crop"
810 }
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812 "flags": [],
813 "type": "CLIPVisionEncode",
814 "mode": 0,
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820 "pos": [
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824 "id": 19,
825 "properties": {
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827 "widget_ue_connectable": [],
828 "Node name for S&R": "Encode Reference Identity"
829 },
830 "order": 36
831 },
832 {
833 "mode": 0,
834 "outputs": [
835 {
836 "name": "track_data",
837 "links": [
838 17
839 ],
840 "label": "track_data",
841 "type": "SAM3_TRACK_DATA",
842 "localized_name": "track_data"
843 }
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869 "label": "model",
870 "type": "MODEL",
871 "localized_name": "model"
872 },
873 {
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875 "name": "initial_mask",
876 "label": "initial_mask",
877 "type": "MASK",
878 "localized_name": "initial_mask"
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883 "link": 13,
884 "label": "conditioning",
885 "type": "CONDITIONING",
886 "localized_name": "conditioning"
887 },
888 {
889 "widget": {
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892 "name": "detection_threshold",
893 "label": "detection_threshold",
894 "type": "FLOAT",
895 "localized_name": "detection_threshold"
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897 {
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902 "label": "max_objects",
903 "type": "INT",
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906 {
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910 "name": "detect_interval",
911 "label": "detect_interval",
912 "type": "INT",
913 "localized_name": "detect_interval"
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915 ],
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918 "type": "SAM3_VideoTrack",
919 "title": "SAM3 追踪驱动主体",
920 "properties": {
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922 "widget_ue_connectable": [],
923 "Node name for S&R": "Track Driving Subject"
924 },
925 "order": 23
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927 {
928 "mode": 0,
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973 "localized_name": "initial_mask"
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978 "link": 16,
979 "label": "conditioning",
980 "type": "CONDITIONING",
981 "localized_name": "conditioning"
982 },
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987 "name": "detection_threshold",
988 "label": "detection_threshold",
989 "type": "FLOAT",
990 "localized_name": "detection_threshold"
991 },
992 {
993 "widget": {
994 "name": "max_objects"
995 },
996 "name": "max_objects",
997 "label": "max_objects",
998 "type": "INT",
999 "localized_name": "max_objects"
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1001 {
1002 "widget": {
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1005 "name": "detect_interval",
1006 "label": "detect_interval",
1007 "type": "INT",
1008 "localized_name": "detect_interval"
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1013 "type": "SAM3_VideoTrack",
1014 "title": "SAM3 追踪参考主体",
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1018 "Node name for S&R": "Track Reference Subject"
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1031 "type": "INT",
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1075 "localized_name": "operation"
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1080 "type": "easy mathInt",
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1221 "type": "easy mathInt",
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1328 }
1329 ],
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1375 "name": "on_false",
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1392 "flags": [],
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1394 "type": "easy ifElse",
1395 "title": "最终循环次数 N",
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1465 "type": "SAMPLER",
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1473 "localized_name": "sigmas"
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1478 "label": "latent_image",
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1480 "localized_name": "latent_image"
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1485 },
1486 "name": "add_noise",
1487 "label": "add_noise",
1488 "type": "BOOLEAN",
1489 "localized_name": "add_noise"
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1495 "name": "noise_seed",
1496 "label": "noise_seed",
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1504 "name": "cfg",
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1507 "localized_name": "cfg"
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1512 "type": "SamplerCustom",
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1529 "label": "IMAGE",
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1548 "type": "VAE",
1549 "localized_name": "vae"
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1569 "widget_ue_connectable": [],
1570 "Node name for S&R": "Decode Segment 01"
1571 },
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1573 },
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1626 "label": "value5",
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1646 "localized_name": "initial_value1"
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1659 "name": "initial_value2",
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1672 "label": "initial_value4",
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1676 "name": "initial_value5",
1677 "label": "initial_value5",
1678 "type": "*"
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1681 "name": "initial_value6",
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1683 "type": "*"
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1738 "name": "video_frame_offset",
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1742 "label": "video_frame_offset",
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1777 "link": 53,
1778 "label": "vae",
1779 "type": "VAE",
1780 "localized_name": "vae"
1781 },
1782 {
1783 "shape": 7,
1784 "name": "pose_video",
1785 "link": 54,
1786 "label": "pose_video",
1787 "type": "IMAGE",
1788 "localized_name": "pose_video"
1789 },
1790 {
1791 "shape": 7,
1792 "name": "pose_video_mask",
1793 "link": 56,
1794 "label": "pose_video_mask",
1795 "type": "IMAGE",
1796 "localized_name": "pose_video_mask"
1797 },
1798 {
1799 "shape": 7,
1800 "name": "reference_image",
1801 "link": 55,
1802 "label": "reference_image",
1803 "type": "IMAGE",
1804 "localized_name": "reference_image"
1805 },
1806 {
1807 "shape": 7,
1808 "name": "reference_image_mask",
1809 "link": 57,
1810 "label": "reference_image_mask",
1811 "type": "IMAGE",
1812 "localized_name": "reference_image_mask"
1813 },
1814 {
1815 "shape": 7,
1816 "name": "clip_vision_output",
1817 "link": 58,
1818 "label": "clip_vision_output",
1819 "type": "CLIP_VISION_OUTPUT",
1820 "localized_name": "clip_vision_output"
1821 },
1822 {
1823 "shape": 7,
1824 "name": "previous_frames",
1825 "link": 59,
1826 "label": "previous_frames",
1827 "type": "IMAGE",
1828 "localized_name": "previous_frames"
1829 },
1830 {
1831 "widget": {
1832 "name": "width"
1833 },
1834 "name": "width",
1835 "link": 60,
1836 "label": "width",
1837 "type": "INT",
1838 "localized_name": "width"
1839 },
1840 {
1841 "widget": {
1842 "name": "height"
1843 },
1844 "name": "height",
1845 "link": 61,
1846 "label": "height",
1847 "type": "INT",
1848 "localized_name": "height"
1849 },
1850 {
1851 "widget": {
1852 "name": "length"
1853 },
1854 "name": "length",
1855 "label": "length",
1856 "type": "INT",
1857 "localized_name": "length"
1858 },
1859 {
1860 "widget": {
1861 "name": "batch_size"
1862 },
1863 "name": "batch_size",
1864 "label": "batch_size",
1865 "type": "INT",
1866 "localized_name": "batch_size"
1867 },
1868 {
1869 "widget": {
1870 "name": "pose_strength"
1871 },
1872 "name": "pose_strength",
1873 "label": "pose_strength",
1874 "type": "FLOAT",
1875 "localized_name": "pose_strength"
1876 },
1877 {
1878 "widget": {
1879 "name": "pose_start"
1880 },
1881 "name": "pose_start",
1882 "label": "pose_start",
1883 "type": "FLOAT",
1884 "localized_name": "pose_start"
1885 },
1886 {
1887 "widget": {
1888 "name": "pose_end"
1889 },
1890 "name": "pose_end",
1891 "label": "pose_end",
1892 "type": "FLOAT",
1893 "localized_name": "pose_end"
1894 },
1895 {
1896 "widget": {
1897 "name": "video_frame_offset"
1898 },
1899 "name": "video_frame_offset",
1900 "link": 62,
1901 "label": "video_frame_offset",
1902 "type": "INT",
1903 "localized_name": "video_frame_offset"
1904 },
1905 {
1906 "widget": {
1907 "name": "previous_frame_count"
1908 },
1909 "name": "previous_frame_count",
1910 "label": "previous_frame_count",
1911 "type": "INT",
1912 "localized_name": "previous_frame_count"
1913 },
1914 {
1915 "widget": {
1916 "name": "replacement_mode"
1917 },
1918 "shape": 7,
1919 "name": "replacement_mode",
1920 "link": 89,
1921 "label": "replacement_mode",
1922 "type": "BOOLEAN",
1923 "localized_name": "replacement_mode"
1924 }
1925 ],
1926 "flags": [],
1927 "type": "WanSCAILToVideo",
1928 "title": "循环体：续写当前段",
1929 "mode": 0,
1930 "bgcolor": "#593930",
1931 "size": [
1932 312.703125,
1933 566.328125
1934 ],
1935 "pos": [
1936 4560,
1937 180
1938 ],
1939 "id": 33,
1940 "properties": {
1941 "note": "循环体续写段：处理大幅度动作、转身、遮挡和跨身份动作迁移。 每一轮使用上一轮 decoded frames 和 video_frame_offset 接续动作。\n循环体已补上 replacement_mode 开关输入，与首段共用同一个开关节点。这样首段和循环续写段的替换模式一致。",
1942 "widget_ue_connectable": {
1943 "replacement_mode": true,
1944 "width": true,
1945 "video_frame_offset": true,
1946 "height": true
1947 },
1948 "Node name for S&R": "循环体：续写当前段"
1949 },
1950 "order": 43
1951 },
1952 {
1953 "mode": 0,
1954 "outputs": [
1955 {
1956 "name": "output",
1957 "links": [],
1958 "label": "output",
1959 "type": "LATENT",
1960 "localized_name": "output"
1961 },
1962 {
1963 "name": "denoised_output",
1964 "links": [
1965 69
1966 ],
1967 "label": "denoised_output",
1968 "type": "LATENT",
1969 "localized_name": "denoised_output"
1970 }
1971 ],
1972 "size": [
1973 262.98541259765625,
1974 667.0980834960938
1975 ],
1976 "pos": [
1977 4880,
1978 180
1979 ],
1980 "widgets_values": [
1981 true,
1982 6,
1983 "increment",
1984 1
1985 ],
1986 "inputs": [
1987 {
1988 "name": "model",
1989 "link": 63,
1990 "label": "model",
1991 "type": "MODEL",
1992 "localized_name": "model"
1993 },
1994 {
1995 "name": "positive",
1996 "link": 64,
1997 "label": "positive",
1998 "type": "CONDITIONING",
1999 "localized_name": "positive"
2000 },
2001 {
2002 "name": "negative",
2003 "link": 65,
2004 "label": "negative",
2005 "type": "CONDITIONING",
2006 "localized_name": "negative"
2007 },
2008 {
2009 "name": "sampler",
2010 "link": 66,
2011 "label": "sampler",
2012 "type": "SAMPLER",
2013 "localized_name": "sampler"
2014 },
2015 {
2016 "name": "sigmas",
2017 "link": 67,
2018 "label": "sigmas",
2019 "type": "SIGMAS",
2020 "localized_name": "sigmas"
2021 },
2022 {
2023 "name": "latent_image",
2024 "link": 68,
2025 "label": "latent_image",
2026 "type": "LATENT",
2027 "localized_name": "latent_image"
2028 },
2029 {
2030 "widget": {
2031 "name": "add_noise"
2032 },
2033 "name": "add_noise",
2034 "label": "add_noise",
2035 "type": "BOOLEAN",
2036 "localized_name": "add_noise"
2037 },
2038 {
2039 "widget": {
2040 "name": "noise_seed"
2041 },
2042 "name": "noise_seed",
2043 "label": "noise_seed",
2044 "type": "INT",
2045 "localized_name": "noise_seed"
2046 },
2047 {
2048 "widget": {
2049 "name": "cfg"
2050 },
2051 "name": "cfg",
2052 "label": "cfg",
2053 "type": "FLOAT",
2054 "localized_name": "cfg"
2055 }
2056 ],
2057 "flags": [],
2058 "id": 34,
2059 "type": "SamplerCustom",
2060 "properties": {
2061 "note": "循环体采样节点。seed 使用 increment，便于每一轮续写时保持连续但不完全重复。",
2062 "widget_ue_connectable": [],
2063 "Node name for S&R": "循环体：采样当前段"
2064 },
2065 "order": 44
2066 },
2067 {
2068 "outputs": [
2069 {
2070 "name": "IMAGE",
2071 "links": [
2072 71,
2073 78
2074 ],
2075 "label": "IMAGE",
2076 "type": "IMAGE",
2077 "localized_name": "IMAGE"
2078 }
2079 ],
2080 "color": "#322",
2081 "widgets_values": [],
2082 "inputs": [
2083 {
2084 "name": "samples",
2085 "link": 69,
2086 "label": "samples",
2087 "type": "LATENT",
2088 "localized_name": "samples"
2089 },
2090 {
2091 "name": "vae",
2092 "link": 70,
2093 "label": "vae",
2094 "type": "VAE",
2095 "localized_name": "vae"
2096 }
2097 ],
2098 "flags": {
2099 "collapsed": true
2100 },
2101 "type": "VAEDecode",
2102 "mode": 0,
2103 "bgcolor": "#533",
2104 "size": [
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2106 71.328125
2107 ],
2108 "pos": [
2109 4880,
2110 900
2111 ],
2112 "id": 35,
2113 "properties": {
2114 "note": "解码当前循环段。它既是本轮输出，也会作为下一轮 previous_frames。",
2115 "widget_ue_connectable": [],
2116 "Node name for S&R": "循环体：解码当前段"
2117 },
2118 "order": 45
2119 },
2120 {
2121 "mode": 0,
2122 "outputs": [
2123 {
2124 "name": "IMAGE",
2125 "links": [
2126 73
2127 ],
2128 "label": "IMAGE",
2129 "type": "IMAGE",
2130 "localized_name": "IMAGE"
2131 },
2132 {
2133 "name": "MASK",
2134 "links": [],
2135 "label": "MASK",
2136 "type": "MASK",
2137 "localized_name": "MASK"
2138 }
2139 ],
2140 "size": [
2141 349.6875,
2142 161.328125
2143 ],
2144 "pos": [
2145 5240,
2146 900
2147 ],
2148 "widgets_values": [
2149 5,
2150 4096
2151 ],
2152 "inputs": [
2153 {
2154 "shape": 7,
2155 "name": "images",
2156 "link": 71,
2157 "label": "images",
2158 "type": "IMAGE",
2159 "localized_name": "images"
2160 },
2161 {
2162 "shape": 7,
2163 "name": "masks",
2164 "label": "masks",
2165 "type": "MASK",
2166 "localized_name": "masks"
2167 },
2168 {
2169 "widget": {
2170 "name": "start_index"
2171 },
2172 "name": "start_index",
2173 "label": "start_index",
2174 "type": "INT",
2175 "localized_name": "start_index"
2176 },
2177 {
2178 "widget": {
2179 "name": "num_frames"
2180 },
2181 "name": "num_frames",
2182 "label": "num_frames",
2183 "type": "INT",
2184 "localized_name": "num_frames"
2185 }
2186 ],
2187 "flags": {
2188 "collapsed": true
2189 },
2190 "id": 36,
2191 "type": "GetImageRangeFromBatch",
2192 "properties": {
2193 "note": "删除续写段前 5 帧重叠帧，避免循环拼接时出现重复动作。",
2194 "widget_ue_connectable": [],
2195 "Node name for S&R": "循环体：去掉重叠帧"
2196 },
2197 "order": 46
2198 },
2199 {
2200 "mode": 0,
2201 "outputs": [
2202 {
2203 "name": "IMAGE",
2204 "links": [
2205 74
2206 ],
2207 "label": "IMAGE",
2208 "type": "IMAGE",
2209 "localized_name": "IMAGE"
2210 },
2211 {
2212 "name": "MASK",
2213 "links": [],
2214 "label": "MASK",
2215 "type": "MASK",
2216 "localized_name": "MASK"
2217 }
2218 ],
2219 "size": [
2220 349.6875,
2221 161.328125
2222 ],
2223 "pos": [
2224 5240,
2225 1080
2226 ],
2227 "widgets_values": [
2228 -1,
2229 1
2230 ],
2231 "inputs": [
2232 {
2233 "shape": 7,
2234 "name": "images",
2235 "link": 72,
2236 "label": "images",
2237 "type": "IMAGE",
2238 "localized_name": "images"
2239 },
2240 {
2241 "shape": 7,
2242 "name": "masks",
2243 "label": "masks",
2244 "type": "MASK",
2245 "localized_name": "masks"
2246 },
2247 {
2248 "widget": {
2249 "name": "start_index"
2250 },
2251 "name": "start_index",
2252 "label": "start_index",
2253 "type": "INT",
2254 "localized_name": "start_index"
2255 },
2256 {
2257 "widget": {
2258 "name": "num_frames"
2259 },
2260 "name": "num_frames",
2261 "label": "num_frames",
2262 "type": "INT",
2263 "localized_name": "num_frames"
2264 }
2265 ],
2266 "flags": {
2267 "collapsed": true
2268 },
2269 "id": 37,
2270 "type": "GetImageRangeFromBatch",
2271 "properties": {
2272 "note": "从上一轮 previous_frames 取尾帧，供颜色匹配参考。",
2273 "widget_ue_connectable": [],
2274 "Node name for S&R": "循环体：取上一段尾帧"
2275 },
2276 "order": 47
2277 },
2278 {
2279 "mode": 0,
2280 "outputs": [
2281 {
2282 "name": "image",
2283 "links": [
2284 76
2285 ],
2286 "label": "image",
2287 "type": "IMAGE",
2288 "localized_name": "image"
2289 }
2290 ],
2291 "size": [
2292 210,
2293 126
2294 ],
2295 "pos": [
2296 5600,
2297 900
2298 ],
2299 "widgets_values": [
2300 "reinhard_lab",
2301 "per_frame",
2302 1
2303 ],
2304 "inputs": [
2305 {
2306 "name": "image_target",
2307 "link": 73,
2308 "label": "image_target",
2309 "type": "IMAGE",
2310 "localized_name": "image_target"
2311 },
2312 {
2313 "name": "image_ref",
2314 "link": 74,
2315 "label": "image_ref",
2316 "type": "IMAGE",
2317 "localized_name": "image_ref"
2318 },
2319 {
2320 "widget": {
2321 "name": "method"
2322 },
2323 "name": "method",
2324 "label": "method",
2325 "type": "COMBO",
2326 "localized_name": "method"
2327 },
2328 {
2329 "widget": {
2330 "name": "source_stats"
2331 },
2332 "name": "source_stats",
2333 "label": "source_stats",
2334 "type": "COMFY_DYNAMICCOMBO_V3",
2335 "localized_name": "source_stats"
2336 },
2337 {
2338 "widget": {
2339 "name": "strength"
2340 },
2341 "name": "strength",
2342 "label": "strength",
2343 "type": "FLOAT",
2344 "localized_name": "strength"
2345 }
2346 ],
2347 "flags": [],
2348 "id": 38,
2349 "type": "ColorTransfer",
2350 "title": "循环体：颜色匹配",
2351 "properties": {
2352 "note": "循环体颜色匹配，保证后续段接入最终累积帧时色调更连续。",
2353 "widget_ue_connectable": [],
2354 "Node name for S&R": "循环体：颜色匹配"
2355 },
2356 "order": 48
2357 },
2358 {
2359 "mode": 0,
2360 "outputs": [
2361 {
2362 "name": "IMAGE",
2363 "links": [
2364 80
2365 ],
2366 "label": "IMAGE",
2367 "type": "IMAGE",
2368 "localized_name": "IMAGE"
2369 }
2370 ],
2371 "size": [
2372 225,
2373 95.328125
2374 ],
2375 "pos": [
2376 5900,
2377 900
2378 ],
2379 "widgets_values": [],
2380 "inputs": [
2381 {
2382 "name": "images.image0",
2383 "link": 75,
2384 "label": "images.image0",
2385 "type": "IMAGE",
2386 "localized_name": "image0"
2387 },
2388 {
2389 "shape": 7,
2390 "name": "images.image1",
2391 "link": 76,
2392 "label": "images.image1",
2393 "type": "IMAGE",
2394 "localized_name": "image1"
2395 },
2396 {
2397 "shape": 7,
2398 "name": "images.image2",
2399 "label": "images.image2",
2400 "type": "IMAGE",
2401 "localized_name": "image2"
2402 }
2403 ],
2404 "flags": [],
2405 "id": 39,
2406 "type": "BatchImagesNode",
2407 "title": "循环体：追加到累计帧",
2408 "properties": {
2409 "note": "把上一轮累计帧和本轮去重叠、颜色匹配后的帧拼成新的 IMAGE 批次，再送回下一轮。",
2410 "widget_ue_connectable": [],
2411 "Node name for S&R": "循环体：追加到累计帧"
2412 },
2413 "order": 49
2414 },
2415 {
2416 "outputs": [
2417 {
2418 "name": "value1",
2419 "links": [],
2420 "label": "value1",
2421 "type": "*",
2422 "localized_name": "value1"
2423 },
2424 {
2425 "name": "value2",
2426 "links": [],
2427 "label": "value2",
2428 "type": "*"
2429 },
2430 {
2431 "name": "value3",
2432 "links": [
2433 81
2434 ],
2435 "label": "value3",
2436 "type": "*"
2437 },
2438 {
2439 "name": "value4",
2440 "label": "value4",
2441 "type": "*"
2442 },
2443 {
2444 "name": "value5",
2445 "label": "value5",
2446 "type": "*"
2447 },
2448 {
2449 "name": "value6",
2450 "label": "value6",
2451 "type": "*"
2452 }
2453 ],
2454 "color": "#223",
2455 "widgets_values": [],
2456 "inputs": [
2457 {
2458 "shape": 5,
2459 "name": "flow",
2460 "link": 77,
2461 "label": "flow",
2462 "type": "FLOW_CONTROL",
2463 "localized_name": "flow"
2464 },
2465 {
2466 "shape": 7,
2467 "name": "initial_value1",
2468 "link": 78,
2469 "label": "initial_value1",
2470 "type": "*",
2471 "localized_name": "initial_value1"
2472 },
2473 {
2474 "name": "initial_value2",
2475 "link": 79,
2476 "label": "initial_value2",
2477 "type": "*"
2478 },
2479 {
2480 "name": "initial_value3",
2481 "link": 80,
2482 "label": "initial_value3",
2483 "type": "*"
2484 },
2485 {
2486 "name": "initial_value4",
2487 "label": "initial_value4",
2488 "type": "*"
2489 },
2490 {
2491 "name": "initial_value5",
2492 "label": "initial_value5",
2493 "type": "*"
2494 },
2495 {
2496 "name": "initial_value6",
2497 "label": "initial_value6",
2498 "type": "*"
2499 }
2500 ],
2501 "flags": [],
2502 "type": "easy forLoopEnd",
2503 "mode": 0,
2504 "bgcolor": "#335",
2505 "size": [
2506 330,
2507 170
2508 ],
2509 "pos": [
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2511 250
2512 ],
2513 "id": 40,
2514 "properties": {
2515 "note": "循环出口：把当前段 decoded frames、video_frame_offset、累积帧送回下一轮。",
2516 "widget_ue_connectable": [],
2517 "Node name for S&R": "循环出口 For Loop End"
2518 },
2519 "order": 50
2520 },
2521 {
2522 "mode": 0,
2523 "outputs": [
2524 {
2525 "name": "Filenames",
2526 "links": [],
2527 "label": "Filenames",
2528 "type": "VHS_FILENAMES",
2529 "localized_name": "Filenames"
2530 }
2531 ],
2532 "size": [
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2534 358
2535 ],
2536 "pos": [
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2538 300
2539 ],
2540 "widgets_values": {
2541 "save_output": true,
2542 "filename_prefix": "SCAIL2_FINAL_01_single_skeleton_512x896",
2543 "loop_count": 0,
2544 "pix_fmt": "yuv420p",
2545 "save_metadata": true,
2546 "crf": 19,
2547 "trim_to_audio": false,
2548 "videopreview": {
2549 "paused": false,
2550 "hidden": false,
2551 "params": {
2552 "score": "0",
2553 "filename": "SCAIL2_FINAL_01_single_skeleton_512x896_00001_p84-audio_yxuxy_1781166860.mp4",
2554 "cos_url": "https://rh-images.xiaoyaoyou.com//13dcf312769df1f67d43587074ec18c2/output/SCAIL2_FINAL_01_single_skeleton_512x896_00001_p84-audio_yxuxy_1781166860.mp4",
2555 "workflow": "SCAIL2_FINAL_01_single_skeleton_512x896_00001_p84.png",
2556 "fullpath": "/data/ComfyUI/personal/13dcf312769df1f67d43587074ec18c2/output/SCAIL2_FINAL_01_single_skeleton_512x896_00001_p84-audio.mp4",
2557 "format": "video/h264-mp4",
2558 "subfolder": "",
2559 "label": "Normal",
2560 "type": "output",
2561 "frame_rate": 24
2562 }
2563 },
2564 "format": "video/h264-mp4",
2565 "no_preview": false,
2566 "frame_rate": 24,
2567 "pingpong": false
2568 },
2569 "inputs": [
2570 {
2571 "name": "images",
2572 "link": 81,
2573 "label": "images",
2574 "type": "IMAGE",
2575 "localized_name": "images"
2576 },
2577 {
2578 "shape": 7,
2579 "name": "audio",
2580 "link": 83,
2581 "label": "audio",
2582 "type": "AUDIO",
2583 "localized_name": "audio"
2584 },
2585 {
2586 "shape": 7,
2587 "name": "meta_batch",
2588 "label": "meta_batch",
2589 "type": "VHS_BatchManager",
2590 "localized_name": "meta_batch"
2591 },
2592 {
2593 "shape": 7,
2594 "name": "vae",
2595 "label": "vae",
2596 "type": "VAE",
2597 "localized_name": "vae"
2598 },
2599 {
2600 "widget": {
2601 "name": "frame_rate"
2602 },
2603 "name": "frame_rate",
2604 "link": 82,
2605 "label": "frame_rate",
2606 "type": "FLOAT",
2607 "localized_name": "frame_rate"
2608 },
2609 {
2610 "widget": {
2611 "name": "loop_count"
2612 },
2613 "name": "loop_count",
2614 "label": "loop_count",
2615 "type": "INT",
2616 "localized_name": "loop_count"
2617 },
2618 {
2619 "widget": {
2620 "name": "filename_prefix"
2621 },
2622 "name": "filename_prefix",
2623 "label": "filename_prefix",
2624 "type": "STRING",
2625 "localized_name": "filename_prefix"
2626 },
2627 {
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